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---
id: "569430a0-dd66-4f27-b32f-982d6a22ed1f"
name: "self / torch / import"
description: "SOP for PyTorch setup involving specific input splitting logic and standard library imports."
version: "0.1.1"
tags:
- "self"
- "torch"
- "import"
triggers:
- "Use when the user asks for a process or checklist."
- "Use when you want to reuse a previously mentioned method/SOP."
examples:
- input: "Break this into best-practice, executable steps."
---
# self / torch / import
SOP for PyTorch setup involving specific input splitting logic and standard library imports.
## Prompt
Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
1) 将 4输入分开，构建新的相同模态结合的2输入，2分支
2) import math
3) import logging
4) from functools import partial
5) from collections import OrderedDict
6) from copy import deepcopy
7) import torch
8) import torch.nn as nn
9) import torch.nn.functional as F
10) from timm.models.layers import to_2tuple
For each step, include: action, checks, and failure rollback/fallback plan.
Output format: for each step number, provide status/result and what to do next.
## Triggers
- Use when the user asks for a process or checklist.
- Use when you want to reuse a previously mentioned method/SOP.
## Examples
### Example 1
Input:
Break this into best-practice, executable steps.
